nnNorm
Spatial and intensity based normalization of cDNA microarray data based on robust neural nets
Bioconductor version: 3.23 · Package version: 2.76.0
This package allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("nnNorm")Details
| Maintainer | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| Author | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| License | LGPL |
| URL | http://bioinformaticsprb.med.wayne.edu/tarca/ |
| Downloads rank | 522 |
| Source branch | RELEASE_3_23 |
| biocViews | Microarray, Preprocessing, Software, TwoChannel |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | nnNorm_2.76.0.tar.gz |
| Windows binary (x86_64) | nnNorm_2.76.0.zip |
| macOS binary (arm64) | nnNorm_2.76.0.tgz |
| macOS binary (x86_64) | nnNorm_2.76.0.tgz |